Content
86%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A tight, highly actionable skill body with executable examples and a well-sequenced async compute workflow. The main gap is a missing explicit validation step on the remote-compute output before downstream use.
Suggestions
Add an explicit validation checkpoint after the compute_done notification — e.g. assert embedded.h5ad has the expected cell count and an X_scGPT obsm key before saving/using it.
Tighten the remote-compute prose: drop the inline 'cell ends here — kernel never blocks on compute' comment and fold the attach/close pattern into a single concise step.
Consider a one-line 'Prerequisites' note on how to obtain the checkpoint directory (the Drive link) since the body references /path/to/scgpt-human without sourcing it.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and mostly efficient — no padding about what single-cell biology or scGPT is — but the remote-compute prose and inline comments (e.g. 'cell ends here — kernel never blocks on compute') could be trimmed slightly. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready code throughout: GeneVocab.from_file, embed_data with real parameters, a complete submit_job call, and a troubleshooting table with a concrete manifest-casing normalization fix. | 5 / 5 |
Workflow Clarity | The remote-compute flow is clearly sequenced (submit → wait_for_notification → act on payload → attach for full result) with a notification feedback loop, but lacks an explicit output-validation step (e.g. verify embedded.h5ad shape/keys). | 4 / 5 |
Progressive Disclosure | Well-organized into clear sections (Prerequisites, How to run, Output format, Remote compute, Gotchas, Troubleshooting) with one-level-deep pointers to related skills; no bundle files are needed and nothing is over-nested. | 5 / 5 |
Total | 18 / 20 Passed |